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Get API Pricing

get_pricing
Read-onlyIdempotent

Returns the current price list as structured JSON: the USD value of one credit, every skill with its credit cost and REST route, the one-time credit packs, and the monthly plan allowances. Free and unauthenticated, so an integrator can render live costs to their own users without hardcoding prices or holding an API key. Billable calls also return X-Credits-Charged and X-Credits-Balance response headers, so a reseller can attribute spend per call. Cost: free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations (readOnlyHint=true, idempotentHint=true, destructiveHint=false) already indicate a safe read operation. The description adds valuable context beyond that: it's free, unauthenticated, and billable calls return X-Credits-Charged and X-Credits-Balance headers. This is exactly the kind of extra behavioral detail that helps an agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but complete—three sentences, no fluff, and the core purpose is front-loaded. Every sentence adds actionable info (what's returned, cost/authentication, header behavior), and it ends with a clear cost indicator.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no input schema, no output schema, and no parameters, the description carries the entire burden—and it fully delivers. It explains the return payload, the response headers, the access requirements (none), and the cost. An agent can call this tool without any further information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline is 4. The description thoroughly explains the return structure (credit value, skills, packs, allowances) and the response headers, which is more than sufficient for a parameterless tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Returns') and a precise resource ('current price list as structured JSON') and enumerates exactly what's included (credit value, skills with costs and routes, packs, plan allowances). No sibling is about pricing, so it's unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Clearly describes when to use it (to render live costs to integrators, attribute spend for resellers) and notes it's free and unauthenticated, which implies it's safe to call anytime. It doesn't explicitly name alternatives, but no other sibling handles pricing, so the guidance is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (search, profile management, post retrieval, async jobs, billing). Some overlap exists among get_trending_outliers, niche_trends, and search_outliers, but their descriptions differentiate free/unauthenticated, niche-specific, and filtered search, so an agent can usually pick correctly.

Naming Consistency4/5

The vast majority of tool names follow a verb_noun pattern (crawl_profile, get_post, remix_post, track_profile). The main exception is 'niche_trends', which is a noun phrase, and the minor spelling of 'topup' instead of 'top_up'. Otherwise, naming is consistent enough to predict tool behavior.

Tool Count4/5

At 21 tools, this is slightly above the typical 3-15 range, but the broad scope (search, crawling, tracking, media handling, transcripts, remixing, billing) justifies the number. Each tool serves a distinct function, and none feel redundant, so the count is reasonable for the domain.

Completeness3/5

The tool set covers the core workflow well: searching outliers, crawling/tracking profiles, fetching posts/media/transcripts, and generating remixes. However, there is no way to list all posts for a specific profile (only 'recent tracked posts' via get_profile and an incremental feed via get_tracked_updates), which is a notable gap for deep creator analysis.

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